Senior Data Engineer

General Dynamics • Bossier City, LA

208d • $91,123 - $123,283 • Remote

About The Position

GDIT is seeking Senior Data Engineers to support its Technology Shared Services (TSS) Data and Analytics organization. GDIT is committed to strategic workforce planning and cultivating a pipeline of talented professionals for anticipated future needs. While there is not an active opening for this position at this time, we welcome expressions of interest from individuals with experience and qualifications aligned to the Data Engineer Senior role. Submitting your information will allow us to consider you for future opportunities as they arise. We encourage you to apply if you would like to be considered when positions become available. Thank you for your interest in GDIT. We value your desire to be part of our team and look forward to the possibility of connecting in the future.

Requirements

• BA/BS (or equivalent years of experience)
• 5+ years of relevant experience
• Experienced in AWS and Azure cloud environments.
• Proficient in Python to perform data analysis and engineering tasks.
• Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS).
• Proficient in database administration and Structured Query Language (SQL).
• Experienced in data modeling and data normalization techniques.
• Experienced in different data structures, including relational databases, semi-structured, and object stores.
• Experienced in database migrations, including homogenous and heterogenous and on-prem and cloud.
• Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences.
• Good team player, able to manage multiple assignments, and adapt to changing client needs.
• Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI.

Nice To Haves

• AWS Certified Solutions Architect Associate
• Azure Fundamentals
• Azure Data Fundamentals
• Knowledge of ITIL framework
• Knowledge of Agile methodology
• Demonstrated experience consulting with internal and external customers to understand business needs and make recommendations.
• Previous experience in the defense or government sector
• Familiarity with cloud services: AWS, Google Cloud, Microsoft Azure, etc.) and big data tools is plus.
• Experience in optimization algorithms and natural language processing is a plus.
• Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional)
• Certifications in Tableau and/or Power BI
• Certifications in AWS and Azure
• Familiarity with Azure DevOps or similar tool(s)
• Experience with Python and R
• Link to sample Tableau, Power BI, and data visualization work/portfolio is preferred

Responsibilities

• Responsible for data migrations, data modeling, and creating schema.
• Provides expert-level design and development of relational databases.
• Designs, implements, and maintains data pipelines to perform extract, transform, and load (ETL) data from sources to destinations.
• Builds and manages cloud-native data architectures in AWS and Azure.
• Identifies and directs information needs and elements, data relationships and attributes, data flow and storage requirements, and data output and reporting capabilities.
• Leads new data development ensuring consistency and integration with existing data warehouse structure.
• Reviews business requests for data and data usage, researches data sources for new and better data feeds.
• Maintains comprehensive documentation on data processes, pipelines, and architecture for knowledge sharing and collaboration.
• Leads continuous improvement efforts in enhancing performance and providing increased functionality, including performing proactive maintenance such as ensuring continued space availability, monitoring activity, and documenting problems, changes, and solutions.
• Assignments may include design of data dictionaries, database structure and layout, installing, upgrading, and managing database applications.
• Presents insights to both technical and non-technical team members and stakeholders, assisting in making informed, data-driven decisions.
• Collaborates with different teams to understand their data needs and create solutions that solve problems and streamline workflows.

Benefits

• Full-flex work week to own your priorities at work and at home
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree